ファクトを見分けて社会を前進させるためのデータ・リテラシー<br>Fact Forward : The Perils of Bad Information and the Promise of a Data-Savvy Society

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ファクトを見分けて社会を前進させるためのデータ・リテラシー
Fact Forward : The Perils of Bad Information and the Promise of a Data-Savvy Society

  • 著者名:Gaylin, Dan
  • 価格 ¥2,959 (本体¥2,690)
  • Wiley(2025/04/03発売)
  • ポイント 26pt (実際に付与されるポイントはご注文内容確認画面でご確認下さい)
  • 言語:ENG
  • ISBN:9781394219896
  • eISBN:9781394219902

ファイル: /

Description

Solutions to increase trust and empower better decision making in a data-rich world

Fact Forward: The Perils of Bad Information and the Promise of a Data-Savvy Society explores how a growing deluge of data has led to a data-rich world with abundant new opportunities and a precipitous decline in trust due to the problems we face in producing, communicating, and consuming data. This book takes readers on a journey through the data ecosystem, showing how data producers, data consumers, and data disseminators all have a role to play in creating a more data-savvy society.

Written by Dan Gaylin, president and CEO of NORC at the University of Chicago, a leading research organization in the field of social science and data science, this book demonstrates the urgent need for:

  • greater transparency on the part of data producers
  • increased data literacy on the part of data communicators and data consumers
  • a societal commitment to data education and infrastructure

Fact Forward: The Perils of Bad Information and the Promise of a Data-Savvy Society earns a well-deserved spot on the bookshelves of leaders across industries and all individuals who want to build a better society and world by improving the way we present, analyze, and make use of data.

Table of Contents

About the Cover ix

Preface xi

Chapter 1 The Importance of Being Data Savvy 1

Chapter 2 Understanding the Data Ecosystem 21

Chapter 3 The Breadth of the Data Universe 41

Chapter 4 The Challenge of Data Integrity 65

Chapter 5 Data and Algorithmic Transparency 85

Chapter 6 The Paradox of Data Neutrality 105

Chapter 7 Fostering Data Literacy 131

Chapter 8 Standards and Privacy 155

Chapter 9 Public Data Infrastructure 169

Chapter 10 The Promise and Challenge of Artificial Intelligence 193

Chapter 11 The Data- Savvy Future 215

Notes 227

Acknowledgments 259

About the Author 261

Index 263

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